Bioinformatics Senior Scientist, Respiratory and Immunology Research Unit, GSK Our Respiratory and Immunology Analytic team has an exciting opening for a Bioinformatics Senior Scientist to join our team. This role offers the chance to significantly contribute to the discovery and development of new treatments for a variety of diseases with unmet clinical need. You will support teams across the department, providing crucial data and analytics to guide project direction and strategy whilst simultaneously embodying and championing our culture. We are looking for a passionate, innovative, and technically proficient researcher eager to expand their existing data and analytics expertise within the biological field. You will be tasked with creating custom analytics solutions, creative data visualisations, and promoting digital proficiency throughout our department, all with a focus to deliver new medicines to patients faster, and better. Your responsibilities will include: Combining your biological knowledge and analytic skills to maximise impact in progressing new medicine opportunities Developing intricate data-dashboards for lab assay outputs, providing unique insights to guide the direction and success of our novel drug targets Implementing bioinformatic analytic workflows to deliver RNAsequencing data, differential gene expression and pathway analysis from first principles, and potential to expand into single cell and other cutting-edge technologies Exploring and developing bespoke analytic solutions, unique data visualisations, and innovative data wrangling approaches/pipelines Fostering and accelerating continuous learning in digital fluency throughout the department Engaging closely with business partners in Human Genetics and Genomics, AIML, Data and Predictive Sciences, and Research Statistics to influence the development of new tools and platforms, and identify synergies applicable to our programs Contributing to shape the strategy and ever-evolving future directions of the Respiratory and Immunology Analytic team Maintaining a high level of documentation for all experimental work, in line with data integrity standards Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: BSc or Masters in Cell Biology, Pharmacology, Molecular Biology, Immunology, Computational Biology or other closely related biological discipline Proven ability to code in R or Python, and its application in exploring and analysing complex biological datasets Prior experience generating assay data in a biological laboratory setting (such as flow cytometry, protein assessment techniques, transcriptomics) and developing experimental methodology and system data outputs Knowledge and application of statistical analysis methodology and bioinformatics tools Experience using generative AI tools to extract and summarise knowledge, or leveraging as a digital ‘thought partner’ to accelerate and enhance your work Understanding of biological processes driving disease pathology and mechanisms of therapeutic intervention Exceptional written and verbal communication skills, with the ability to effectively present scientific findings to internal and external stakeholders in a balanced, clear, and precise manner Excellent networking and collaborative skills with a proven track record of success in multidiciplinary team environments Attention to detail and ability to manage multiple projects simultaneously in a team environment Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: PhD and/or familiarity with drug discovery and development processes through significant experience in a pharmaceutical R&D department Proficiency with data visualisation of dashboarding tools such as Spotfire, PowerBI or Tableau Experience of running deep analytic pipelines across the output from next generation sequencing technologies Understanding of key AIML concepts, particularly in relation to drug discovery and development, and/or experience building machine learning models Closing Date for Applications: 15th November 2024 Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people over the next 10 years. R&D is committed to discovering and delivering transformational vaccines and medicines to prevent and change the course of disease. Science and technology are coming together in a way they never have before, and we have strong tech-enabled capabilities that allow us to build a deeper understanding of the patient, human biology and disease mechanisms, and transform medical discovery. We are revolutionising the way we do R&D. We’re uniting science, technology and talent to get ahead of disease together. Find out more: Our approach to R&D. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class(US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. 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